红外技术2011，Vol.33Issue(9)：541-544,4.
基于小波和侧抑制网络的红外图像增强算法
The Infrared Image Enhancement Based on Wavelet Transformation and Lateral Inhibition Network
王群 1何永强 1周云川1
作者信息
- 1. 军械工程学院光学与电子工程系,河北石家庄050003
- 折叠
摘要
Abstract
For infrared image with the characteristics of low contrast and low signal-to-noise, a infrared image enhancement method based on Wavelet Transform and Lateral Inhibition Network is presented. Firstly the wavelet transform is adopted to decompose the input infrared, and then low frequency coefficients are managed by the Lateral Inhibition Network and high frequency coefficients are managed by the optimized Wavelet Part Threshold. Finally, the inverse wavelet transform is applied to synthesis image which can obtain the enhanced image. The experiment show that: at the same time enhances the image, the algorithm can preferable suppress the image noise, and can effectively highlight the image detail.关键词
小波变换/侧抑制网络/对比度增强/局部阈值去噪Key words
Wavelet Transform, Lateral Inhibition Network, contrast enhancement, part threshold de-noising分类
信息技术与安全科学引用本文复制引用
王群,何永强,周云川..基于小波和侧抑制网络的红外图像增强算法[J].红外技术,2011,33(9):541-544,4.
